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Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations

Author

Listed:
  • Xiao Han

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Zhe Li

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Haini Chen

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Mengyao Yu

    (School of Architecture, Southeast University, Nanjing 210096, China)

  • Yi Shi

    (School of Architecture, Southeast University, Nanjing 210096, China)

Abstract

The scientific evaluation of landscape performance has become a critical focus in promoting landscape architecture and urban quality research. Structural equation modeling (SEM) is widely applied in digital assessments and performance studies, offering robust analytical capabilities. However, further progress requires a systematic review to synthesize past findings and identify emerging opportunities. This study reviews 245 articles that utilize SEM in landscape performance research, analyzing publication trends, research dimensions, methodologies, and data sources. The results indicate that SEM-based studies are predominantly focused on cognitive environmental performance based on subjective evaluation data. SEM can be applied to analyze the correlation mechanisms between landscape performance and influencing factors, examine the mediating effects among multiple factors, and conduct comparative analyses across different sample groups. Future research should prioritize integrating subjective and objective assessments, developing open-source databases, and promoting practical applications of SEM technologies. These efforts will enhance policy-making and improve the precision of performance evaluations, strengthening the scientific foundation of landscape architecture and quality enhancement research.

Suggested Citation

  • Xiao Han & Zhe Li & Haini Chen & Mengyao Yu & Yi Shi, 2025. "Structural Equation Model in Landscape Performance Research: Dimensions, Methodologies, and Recommendations," Land, MDPI, vol. 14(3), pages 1-22, March.
    • Handle: RePEc:gam:jlands:v:14:y:2025:i:3:p:646-:d:1615001
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